A Sequence Kernel and its Application to Speaker Recognition
–Neural Information Processing Systems
A novel approach for comparing sequences of observations using an explicit-expansion kernel is demonstrated. The kernel is derived using the assumption of the independence of the sequence of observations and a mean-squared error training criterion.
Neural Information Processing Systems
Dec-31-2002